TY - GEN
T1 - Multi-target Detection based on Multi-sensor Redundancy and Dynamic Weight Distribution for Driverless Cars
AU - Liu, Qinghe
AU - Zhou, Wenqi
AU - Zhang, Yankun
AU - Fei, Xun
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/14
Y1 - 2021/5/14
N2 - The perception system of unmanned vehicles has developed rapidly in recent years, but in the process of multisensor fusion, a certain sensor's perception error often occurs which causes great errors in the perception results of the entire multi-sensor system and is harmful to human life and property. Therefore, it requires redundant fusion of the objects perceived by the sensors, and sets weights during the fusion process to eliminate sensors with poor detection results. This paper establishes a multi-sensor perception and a dynamic weight distribution and eliminate system. Multi-sensor weight distribution is performed by Kalman tracking variance. Such a system will greatly reduce the errors of the perception system.
AB - The perception system of unmanned vehicles has developed rapidly in recent years, but in the process of multisensor fusion, a certain sensor's perception error often occurs which causes great errors in the perception results of the entire multi-sensor system and is harmful to human life and property. Therefore, it requires redundant fusion of the objects perceived by the sensors, and sets weights during the fusion process to eliminate sensors with poor detection results. This paper establishes a multi-sensor perception and a dynamic weight distribution and eliminate system. Multi-sensor weight distribution is performed by Kalman tracking variance. Such a system will greatly reduce the errors of the perception system.
KW - dynamic weight distribution
KW - multi-sensor redundancy
KW - multi-target detection
UR - https://www.scopus.com/pages/publications/85111441522
U2 - 10.1109/CISCE52179.2021.9446002
DO - 10.1109/CISCE52179.2021.9446002
M3 - 会议稿件
AN - SCOPUS:85111441522
T3 - 2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021
SP - 229
EP - 234
BT - 2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Conference on Communications, Information System and Computer Engineering, CISCE 2021
Y2 - 14 May 2021 through 16 May 2021
ER -